Azure Data Engineer

Job description

Provide solutions and guide/approve data designs on an Azure cloud based platform that processes sales activity in near real time with large multi-dimensional data sets stored in noSQL and relational DBs. An ideal candidate is passionate about improving customer experience and has technical and leadership skills to continuously improve the application data architecture. To be successful, candidate has the ability to identify and manage data relationships that results in long term stability of data. The position will lead solutioning and design functions to deliver the business needs and to support the modernization of these functions to the latest technology platforms.

Qualifications

• 10+ Years of experience in data engineering or related experience.

• Bachelor’s degree in Computer Science, IT or Engineering preferred.

• Data Engineer on a cloud based application (mS/noSQL/RDBMS) for meeting business requirements.

• Must have experience data modeling with Relational and NoSQL Databases (Mongo DB/Oracle/Postgres).

• Must have experience with Data Analytics (Toad/PowerBI/SQLDeveloper).

• Must have familiarity data management in creating Generative AI solutions.

• Must have experience using Data Modeling Tools (Erwin/Amundsen/DbSchema/Draw.io).

• Must have the ability to identify opportunities for improvement using AI and data analytics tools.

• Good to have experience with SnowSQL, GraphQL, Azure Synapse, Databricks and Spark.

• Should be able to understand complex requirements to design/develop enterprise solutions.

• Produces documented frameworks, or architectures. Conducts data architecture and business information flow studies.

• Develops, documents and verifies detailed interface, performance and technical specifications. Performs data engineering and maintains data models while working with architects.

• Should have overall Platform Knowledge and well versed in any cloud offerings.